Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities

Sujee Lee; Li Liu; Robert Radwin; Jingshan Li

doi:10.1109/LRA.2021.3084881

Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities

Sujee Lee
, Li Liu
, Robert Radwin
, Jingshan Li

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

The rapid development of machine learning (ML) technology has introduced substantial impact on ergonomics research in manufacturing. Numerous studies and practices have been carried out to apply ML techniques to address manufacturing ergonomics issues, which has brought extensive opportunities as well as significant challenges. To incentivize future research in this area, this letter reviews the recent advances of ML applications in manufacturing ergonomics, and discusses future research opportunities and challenges from ML, ergonomics, and manufacturing systems perspectives.

Original language	English
Article number	9444203
Pages (from-to)	5745-5752
Number of pages	8
Journal	IEEE Robotics and Automation Letters
Volume	6
Issue number	3
DOIs	https://doi.org/10.1109/LRA.2021.3084881
State	Published - Jul 2021
Externally published	Yes

Keywords

challenges
ergonomics
Machine learning
manufacturing
opportunities

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LRA.2021.3084881

Cite this

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abstract = "The rapid development of machine learning (ML) technology has introduced substantial impact on ergonomics research in manufacturing. Numerous studies and practices have been carried out to apply ML techniques to address manufacturing ergonomics issues, which has brought extensive opportunities as well as significant challenges. To incentivize future research in this area, this letter reviews the recent advances of ML applications in manufacturing ergonomics, and discusses future research opportunities and challenges from ML, ergonomics, and manufacturing systems perspectives.",

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author = "Sujee Lee and Li Liu and Robert Radwin and Jingshan Li",

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AU - Radwin, Robert

AU - Li, Jingshan

PY - 2021/7

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AB - The rapid development of machine learning (ML) technology has introduced substantial impact on ergonomics research in manufacturing. Numerous studies and practices have been carried out to apply ML techniques to address manufacturing ergonomics issues, which has brought extensive opportunities as well as significant challenges. To incentivize future research in this area, this letter reviews the recent advances of ML applications in manufacturing ergonomics, and discusses future research opportunities and challenges from ML, ergonomics, and manufacturing systems perspectives.

KW - challenges

KW - ergonomics

KW - Machine learning

KW - manufacturing

KW - opportunities

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ER -

Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities

Abstract

Keywords

UN SDGs

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